The method that combine the cumulative average and multi-resolution analysis in wavelet transform was presented which can de-noise the weak signal collected from the sensor.
提出了对传感器采集到的微弱信号进行累加平均和小波变换中的多分辨率分析方法相结合去噪。
Experiments show that wavelet filtering can enhance the small fault detection capacity and detect more timely compared with exponentially weighted moving average (EWMA) filter.
实验表明，小波滤波法能提高小故障的检测能力，而且与指数权重滑动平均滤波法相比更具有故障检测的及时性。
Through the filter experiment on the actual sampling signal, and compares with the common average filter algorithm, it proved the wavelet analysis algorithm has better filter effect.
通过对红外水分仪实际采样信号的滤波试验，并与一般平均滤波算法相比较，证明其具有更好的滤波效果。
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